Organization Description Inspirisys Solutions North America, Inc. is an end-to-end IT services company, with the primary goal of creating solutions and providing services that add strategic value to our customers and help them realize their true market potential. Our expertise spans traditional technologies and next-gen technologies such as Enterprise Security, Product Engineering and Development, Cloud, IoT and Infrastructure. We provide technology consulting, development, maintenance, integration, and product engineering services to Fortune 500 customers in the BFSI, Government/PSU, Manufacturing, Telecom, and Healthcare domains. Inspirisys North America is managed by a team of highly experienced professionals, committed to providing cost-effective solutions at international quality standards. Our customers benefit from the industry’s best and brightest technical specialists who deliver consistent business value through a combination of process excellence and technology innovation from our state-of-the-art development centers.
Program Information This internship opportunity with Inspirisys Solutions North America, Inc will expose the intern with different aspects of the company's business. This includes but not limited to working in close association with senior data analyst team for evolving our services, cross functional teams for data and requirement gatherings and leadership team for working in line with the business goals. A primary manager will serve as a contact and mentor and the engagement will provide a breadth of smaller “experiments and exposures” and the opportunity to add value in both tactical support resolution as well as transformational efforts. Key Responsibilities: Working alongside strategic analytics teams to plan and set tactical direction with business adoption of analytics and application of appropriate technology to support business needs. Analyzing large data sets and collecting insights in a fast-paced, agile environment using predictive analysis and statistical methods. Data analysis, data preprocessing, data modeling, report writing to derive meaningful data-based insights, using programming languages like R, Python and related data manipulation packages like (Pandas, Numpy, dplyr, tidyr). Building data visualizations using tools like Tableau or similar and presenting Analysis to Senior Management. Database Querying using SQL. Collaborating with global teams by navigating multiple end-user collaboration software solutions (email, slack, zoom, excel, word, other)